11 citations · 13 across the 11 of their papers we have counts for
12 papers
System-Self as a Data Structure: An Architectural Approach to Bounded Adaptation
Erwin Franz, Alhassan S. Yasin
Safety critical autonomous systems often adapt by adjusting controller parameters while keeping the underlying architecture fixed. This strategy breaks down when shifts in sensing,…
Proximal Policy Optimization with Evolutionary Mutations
Casimir Czworkowski, Stephen Hornish, Alhassan S. Yasin
Proximal Policy Optimization (PPO) is a widely used reinforcement learning algorithm known for its stability and sample efficiency, but it often suffers from premature convergence…
Transfer Learning from One Cancer to Another via Deep Learning Domain Adaptation
Justin Cheung, Samuel Savine, Calvin Nguyen +2
Supervised deep learning models often achieve excellent performance within their training distribution but struggle to generalize beyond it. In cancer histopathology, for example,…
Improving Artifact Robustness for CT Deep Learning Models Without Labeled Artifact Images via Domain Adaptation
Justin Cheung, Samuel Savine, Calvin Nguyen +2
If a CT scanner introduces a new artifact not present in the training labels, the model may misclassify the images. Although modern CT scanners include design features which mitiga…
Fusion Steering: Prompt-Specific Activation Control
Waldemar Chang, Alhassan Yasin
We present Fusion Steering, an activation steering methodology that improves factual accuracy in large language models (LLMs) for question-answering (QA) tasks. This approach intro…
Reinforcement Learning Framework for Quantitative Trading
Alhassan S. Yasin, Prabdeep S. Gill
The inherent volatility and dynamic fluctuations within the financial stock market underscore the necessity for investors to employ a comprehensive and reliable approach that integ…
QR Sort: A Novel Non-Comparative Sorting Algorithm
Randolph T. Bushman, Tanya M. Tebcherani, Alhassan S. Yasin
In this paper, we introduce and prove QR Sort, a novel non-comparative integer sorting algorithm. This algorithm uses principles derived from the Quotient-Remainder Theorem and Cou…
Graph Neural Operators for Classification of Spatial Transcriptomics Data
Junaid Ahmed, Alhassan S. Yasin
The inception of spatial transcriptomics has allowed improved comprehension of tissue architectures and the disentanglement of complex underlying biological, physiological, and pat…
A Machine Learning Approach for Increased Throughput of Density Functional Theory Substitutional Alloy Studies
Alhassan S. Yasin, Terence D. Musho
In this study, a machine learning-based technique is developed to reduce the computational cost required to explore large design spaces of substitutional alloys. The first advancem…
Density Functional Theory Evaluation of Cation-doped Bismuth Molybdenum Oxide Photocatalysts for Nitrogen Fixation
Alhassan S. Yasin, Botong Liu, Nianqiang Wu +1
This study investigates the photocatalytic nitrogen fixation on a cation-doped surface (BiM)MoO where (M = Fe, La, Yb) in both the orthorhombic and monoclinic c…
Ab-initio Study of the Electron Mobility in a Functionalized UiO-66 Metal Organic Framework
Terence D. Musho, Alhassan S. Yasin
This study leverages density function theory (DFT) accompanied with Boltzmann transport equation approaches to investigate the electronic mobility as a function of inorganic substi…
Ab initio Screening of a Sulfur Desorbed MoS Photocatalyst for Nitrogen Fixation
Alhassan S. Yasin, Nianqiang Wu, Terence Musho
The following study investigates the thermodynamic reaction barriers during nitrogen fixation for an inorganic sulfur desorbed photocatalyst Molybdenum disulfide surface. The desig…